1
|
Ashburn NP, Snavely AC, Allen BR, Christenson RH, Madsen T, McCord JK, Mumma BE, Hashemian T, Stopyra JP, Wilkerson RG, Mahler SA. Performance of the European Society of Cardiology 0/1-hour algorithm with high-sensitivity cardiac troponin T at 90 days among patients with known coronary artery disease. Am J Emerg Med 2024; 79:111-115. [PMID: 38417221 DOI: 10.1016/j.ajem.2024.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/07/2024] [Accepted: 02/19/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND The European Society of Cardiology (ESC) 0/1-h high sensitivity troponin T (hs-cTnT) algorithm does not differentiate risk based on known coronary artery disease (CAD: prior myocardial infarction [MI], coronary revascularization, or ≥ 70% coronary stenosis). We recently evaluated its performance among patients with known CAD at 30-days, but little is known about its longer-term risk prediction. The objective of this study is to determine and compare the performance of the algorithm at 90-days among patients with and without known CAD. METHODS We performed a pre-planned subgroup analysis of the STOP-CP cohort, which prospectively enrolled ED patients ≥21 years old with symptoms suggestive of ACS without ST-elevation on initial ECG across 8 US sites (1/25/2017-9/6/2018). Participants with 0- and 1-h hs-cTnT measures (Roche, Basel, Switzerland) were stratified into rule-out, observe, and rule-in groups using the ESC 0/1-h algorithm. Algorithm performance was tested among patients with or without known CAD, as determined by the treating provider. The primary outcome was cardiac death or MI at 90-days. Fisher's exact tests were used to compare 90-day event and rule-out rates between patients with and without known CAD. Negative predictive values (NPVs) for 90-day cardiac death or MI with exact 95% confidence intervals were calculated and compared using Fisher's exact test. RESULTS The STOP-CP study accrued 1430 patients, of which 31.4% (449/1430) had known CAD. Cardiac death or MI at 90 days was more common in patients with known CAD than in those without [21.2% (95/449) vs. 10.0% (98/981); p < 0.001]. Using the ESC 0/1-h algorithm, 39.6% (178/449) of patients with known CAD and 66.1% (648/981) of patients without known CAD were ruled-out (p < 0.001). Among rule-out patients, 90-day cardiac death or MI occurred in 3.4% (6/178) of patients with known CAD and 1.2% (8/648) without known CAD (p = 0.09). NPV for 90-day cardiac death or MI was 96.6% (95%CI 92.8-98.8) among patients with known CAD and 98.8% (95%CI 97.6-99.5) in patients without known CAD (p = 0.09). CONCLUSION Patients with known CAD who were ruled-out using the ESC 0/1-h hs-cTnT algorithm had a high rate of missed 90-day cardiac events, suggesting that the ESC 0/1-h hs-cTnT algorithm may not be safe for use among patients with known CAD. TRIAL REGISTRATION High-Sensitivity Cardiac Troponin T to Optimize Chest Pain Risk Stratification (STOP-CP; ClinicalTrials.gov: NCT02984436; https://clinicaltrials.gov/ct2/show/NCT02984436).
Collapse
Affiliation(s)
- Nicklaus P Ashburn
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | - Anna C Snavely
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Brandon R Allen
- Department of Emergency Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Robert H Christenson
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Troy Madsen
- Department of Emergency Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - James K McCord
- Department of Cardiology, Henry Ford Health System, Detroit, MI, USA
| | - Bryn E Mumma
- Department of Emergency Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Tara Hashemian
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jason P Stopyra
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - R Gentry Wilkerson
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Simon A Mahler
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| |
Collapse
|
2
|
Mahler SA, Ashburn NP, Supples MW, Hashemian T, Snavely AC. Validation of the ACC Expert Consensus Decision Pathway for Patients With Chest Pain. J Am Coll Cardiol 2024; 83:1181-1190. [PMID: 38538196 DOI: 10.1016/j.jacc.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND The American College of Cardiology (ACC) recently published an Expert Consensus Decision Pathway for chest pain. OBJECTIVES The purpose of this study was to validate the ACC Pathway in a multisite U.S. COHORT METHODS An observational cohort study of adults with possible acute coronary syndrome was conducted. Patients were accrued from 5 U.S. Emergency Departments (November 1, 2020, to July 31, 2022). ECGs and 0- and 2-hour high-sensitivity troponin (Beckman Coulter) measures were used to stratify patients according to the ACC Pathway. The primary safety outcome was 30-day all-cause death or myocardial infarction (MI). Efficacy was defined as the proportion stratified to the rule-out zone. Negative predictive value for 30-day death or MI was assessed among the whole cohort and in a subgroup of patients with coronary artery disease (CAD) (prior MI, revascularization, or ≥70% coronary stenosis). RESULTS ACC Pathway assessments were complete in 14,395 patients, of whom 51.7% (7,437 of 14,395) were women with a median age of 56 years (Q1-Q3: 44-68 years). Known CAD was present in 23.5% (3,386 of 14,395) and 30-day death or MI occurred in 8.1% (1,168 of 14,395). The ACC Pathway had an efficacy of 48.1% (95% CI: 47.3%-49.0%). Among patients in the rule-out zone, 0.3% (22 of 6,930) had death or MI at 30 days, yielding a negative predictive value of 99.7% (95% CI: 99.5%-99.8%). In patients with known CAD, 20.0% (676 of 3,386) were classified to the rule-out zone, of whom 1.5% (10 of 676) had death or MI. CONCLUSIONS The ACC expert consensus decision pathway was safe and efficacious. However, it may not be safe for use among patients with known CAD.
Collapse
Affiliation(s)
- Simon A Mahler
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
| | - Nicklaus P Ashburn
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Michael W Supples
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Tara Hashemian
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Anna C Snavely
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| |
Collapse
|
3
|
Millard MJ, Ashburn NP, Snavely AC, Hashemian T, Supples M, Allen B, Christenson R, Madsen T, McCord J, Mumma B, Stopyra J, Wilkerson RG, Mahler SA. European Society of Cardiology 0/1-hour algorithm (high-sensitivity cardiac troponin T) performance across distinct age groups. Heart 2024:heartjnl-2023-323621. [PMID: 38471727 DOI: 10.1136/heartjnl-2023-323621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/06/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND To determine if the European Society of Cardiology 0/1-hour (ESC 0/1-h) algorithm with high-sensitivity cardiac troponin T (hs-cTnT) meets the ≥99% negative predictive value (NPV) safety threshold for 30-day cardiac death or myocardial infarction (MI) in older, middle-aged and young subgroups. METHODS We conducted a subgroup analysis of adult emergency department patients with chest pain prospectively enrolled from eight US sites (January 2017 to September 2018). Patients were stratified into rule-out, observation and rule-in zones using the hs-cTnT ESC 0/1-h algorithm and classified as older (≥65 years), middle aged (46-64 years) or young (21-45 years). Patients had 0-hour and 1-hour hs-cTnT measures (Roche Diagnostics) and a History, ECG, Age, Risk factor and Troponin (HEART) score. Fisher's exact tests compared rule-out and 30-day cardiac death or MI rates between ages. NPVs with 95% CIs were calculated for the ESC 0/1-h algorithm with and without the HEART score. RESULTS Of 1430 participants, 26.9% (385/1430) were older, 57.4% (821/1430) middle aged and 15.7% (224/1430) young. Cardiac death or MI at 30 days occurred in 12.8% (183/1430). ESC 0/1-h algorithm ruled out 35.6% (137/385) of older, 62.1% (510/821) of middle-aged and 79.9% of (179/224) young patients (p<0.001). NPV for 30-day cardiac death or MI was 97.1% (95% CI 92.7% to 99.2%) among older patients, 98.4% (95% CI 96.9% to 99.3%) in middle-aged patients and 99.4% (95% CI 96.9% to 100%) among young patients. Adding a HEART score increased NPV to 100% (95% CI 87.7% to 100%) for older, 99.2% (95% CI 97.2% to 99.9%) for middle-aged and 99.4% (95% CI 96.6% to 100%) for young patients. CONCLUSIONS In older and middle-aged adults, the hs-cTnT ESC 0/1-h algorithm was unable to reach a 99% NPV for 30-day cardiac death or MI unless combined with a HEART score. TRIAL REGISTRATION NUMBER NCT02984436.
Collapse
Affiliation(s)
- Marissa J Millard
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicklaus P Ashburn
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Anna C Snavely
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Tara Hashemian
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Michael Supples
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Brandon Allen
- Department of Emergency Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Robert Christenson
- Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Troy Madsen
- Department of Emergency Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - James McCord
- Department of Cardiology, Henry Ford Hospital, Detroit, Michigan, USA
| | - Bryn Mumma
- Department of Emergency Medicine, University of California Davis School of Medicine, Sacramento, California, USA
| | - Jason Stopyra
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Richard Gentry Wilkerson
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Simon A Mahler
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| |
Collapse
|